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Bioinformatics for evolutionary biologistsa problems approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bioinformatics for evolutionary biologistsby Bernhard Haubold, Angelika Börsch-Haubold.
其他題名:	a problems approach /
作者:	Haubold, Bernhard.
其他作者:	Börsch-Haubold, Angelika.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	ix, 411 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Bioinformatics.
電子資源:	https://doi.org/10.1007/978-3-031-20414-2
ISBN:	9783031204142$q(electronic bk.)

Bioinformatics for evolutionary biologistsa problems approach /
Haubold, Bernhard.

Bioinformatics for evolutionary biologistsa problems approach /[electronic resource] :by Bernhard Haubold, Angelika Börsch-Haubold. - Second edition. - Cham :Springer International Publishing :2023. - ix, 411 p. :ill. (some col.), digital ;24 cm.

Part I Problems -- 1 The Unix Command Line -- 1.1 Getting Started -- 1.2 Files, Directories, and Programs -- 1.3 Scripts -- 2 Optimal Alignment -- 2.1 Keeping Score -- 2.2 Construction -- 2.3 Application -- 3 Exact Matching -- 3.1 Keyword Trees -- 3.2 Suffix Trees -- 3.3 Suffix Arrays -- 3.4 Text Compression -- 4 Fast Alignment -- 4.1 Global -- 4.2 Local -- 4.3 Glocal -- 4.4 Assembly -- 4.5 Multiple Sequences -- 5 Evolution Between Species: Phylogeny -- 5.1 Trees of Life -- 5.2 Rooted Trees -- 5.3 Unrooted Trees -- 6 Evolution within Populations -- 6.1 Descent from One or Two Parents -- 6.2 The Coalescent -- 7 Interrogating and Storing Data -- 7.1 Statistics -- 7.2 Relational Databases -- Part II Answers. -- 1 The Unix Command Line -- 1.1 Getting Started -- 1.2 Files, Directories, and Programs -- 1.3 Scripts -- 2 Optimal Alignment -- 2.1 Keeping Score -- 2.2 Construction -- 2.3 Application -- 3 Exact Matching -- 3.1 Keyword Trees -- 3.2 Suffix Trees -- 3.3 Suffix Arrays -- 3.4 Text Compression -- 4 Fast Alignment -- 4.1 Global -- 4.2 Local -- 4.3 Glocal -- 4.4 Assembly -- 4.5 Multiple Sequences -- 5 Evolution Between Species: Phylogeny -- 5.1 Trees of Life -- 5.2 Rooted Trees -- 5.3 Unrooted Trees -- 6 Evolution within Populations -- 6.1 Descent from One or Two Parents -- 6.2 The Coalescent -- 7 Interrogating and Storing Data -- 7.1 Statistics -- 7.2 Relational Databases -- A. Unix Guide -- B. Programs -- B.1 Own -- B.2 Biobox -- B.3 Third-Party -- References -- Index.

This self-contained textbook covers fundamental aspects of sequence analysis with special emphasis on evolutionary biology, including sequence alignment, exact matching, phylogeny reconstruction, and coalescent simulation. It addresses these topics through a series of over 800 computer problems, ranging from elementary to research level, to enable learning by doing. Students solve the problems in the same computational environment used for decades in science - the Unix command line. This is available on all four major operating systems for PCs: Windows, macOS, chromeOS, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 50 programs specifically written for this course and available via GitHub. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new terms. By using practical computing to explore sequence data in an evolutionary context, the book enables readers to tackle their own computational problems.

ISBN: 9783031204142$q(electronic bk.)

Standard No.: 10.1007/978-3-031-20414-2doiSubjects--Topical Terms:

194415
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

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505 0 $a Part I Problems -- 1 The Unix Command Line -- 1.1 Getting Started -- 1.2 Files, Directories, and Programs -- 1.3 Scripts -- 2 Optimal Alignment -- 2.1 Keeping Score -- 2.2 Construction -- 2.3 Application -- 3 Exact Matching -- 3.1 Keyword Trees -- 3.2 Suffix Trees -- 3.3 Suffix Arrays -- 3.4 Text Compression -- 4 Fast Alignment -- 4.1 Global -- 4.2 Local -- 4.3 Glocal -- 4.4 Assembly -- 4.5 Multiple Sequences -- 5 Evolution Between Species: Phylogeny -- 5.1 Trees of Life -- 5.2 Rooted Trees -- 5.3 Unrooted Trees -- 6 Evolution within Populations -- 6.1 Descent from One or Two Parents -- 6.2 The Coalescent -- 7 Interrogating and Storing Data -- 7.1 Statistics -- 7.2 Relational Databases -- Part II Answers. -- 1 The Unix Command Line -- 1.1 Getting Started -- 1.2 Files, Directories, and Programs -- 1.3 Scripts -- 2 Optimal Alignment -- 2.1 Keeping Score -- 2.2 Construction -- 2.3 Application -- 3 Exact Matching -- 3.1 Keyword Trees -- 3.2 Suffix Trees -- 3.3 Suffix Arrays -- 3.4 Text Compression -- 4 Fast Alignment -- 4.1 Global -- 4.2 Local -- 4.3 Glocal -- 4.4 Assembly -- 4.5 Multiple Sequences -- 5 Evolution Between Species: Phylogeny -- 5.1 Trees of Life -- 5.2 Rooted Trees -- 5.3 Unrooted Trees -- 6 Evolution within Populations -- 6.1 Descent from One or Two Parents -- 6.2 The Coalescent -- 7 Interrogating and Storing Data -- 7.1 Statistics -- 7.2 Relational Databases -- A. Unix Guide -- B. Programs -- B.1 Own -- B.2 Biobox -- B.3 Third-Party -- References -- Index.
520 $a This self-contained textbook covers fundamental aspects of sequence analysis with special emphasis on evolutionary biology, including sequence alignment, exact matching, phylogeny reconstruction, and coalescent simulation. It addresses these topics through a series of over 800 computer problems, ranging from elementary to research level, to enable learning by doing. Students solve the problems in the same computational environment used for decades in science - the Unix command line. This is available on all four major operating systems for PCs: Windows, macOS, chromeOS, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 50 programs specifically written for this course and available via GitHub. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new terms. By using practical computing to explore sequence data in an evolutionary context, the book enables readers to tackle their own computational problems.
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650 0 $a Evolution (Biology) $3 178176
650 2 4 $a Evolutionary Biology. $3 273704
650 2 4 $a Computational and Systems Biology. $3 911810
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